Wookjin Choi

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 12

Top Topics

Survival Prediction

Unsupervised Learning

Convolutional Neural Networks

Top Venues

DATRA/PIPPI@MICCAI

Publications

Wookjin Choi, Navdeep Dahiya, Saad Nadeem
CIRDataset: A large-scale Dataset for Clinically-Interpretable lung nodule Radiomics and malignancy prediction. CoRR (2022)
Wookjin Choi, Navdeep Dahiya, Saad Nadeem
CIRDataset: A Large-Scale Dataset for Clinically-Interpretable Lung Nodule Radiomics and Malignancy Prediction. MICCAI (5) (2022)
Mumtaz Hussain Soomro, Hamidreza Nourzadeh, Victor Gabriel Leandro Alves, Wookjin Choi, Jeffrey V. Siebers
OARnet: Automated organs-at-risk delineation in Head and Neck CT images. CoRR (2021)
Jung Hun Oh, Wookjin Choi, Euiseong Ko, Mingon Kang, Allen R. Tannenbaum, Joseph O. Deasy
PathCNN: interpretable convolutional neural networks for survival prediction and pathway analysis applied to glioblastoma. Bioinform. 37 (Supplement) (2021)
Wookjin Choi, Saad Nadeem, Sadegh R. Alam, Joseph O. Deasy, Allen R. Tannenbaum, Wei Lu
Reproducible and Interpretable Spiculation Quantification for Lung Cancer Screening. Comput. Methods Programs Biomed. 200 (2021)
Ju Wang, Wookjin Choi, Igor Shtau, Tyler Ferro, Zhenhua Wu, Curtrell Trott
Human Pose Estimation in UAV-Human Workspace. HCI (41) (2021)
Sanghoon Lee, Colton Farley, Simon Shim, Yanjun Zhao, Wookjin Choi, Wook-Sung Yoo
Unsupervised Learning of Deep-Learned Features from Breast Cancer Images. CoRR (2020)
Sanghoon Lee, Colton Farley, Simon Shim, Wook-Sung Yoo, Yanjun Zhao, Wookjin Choi
Unsupervised Learning of Deep-Learned Features from Breast Cancer Images. BIBE (2020)
Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham J. Wu, James G. Mechalakos, Joseph O. Deasy, Wei Lu
Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response. CoRR (2018)
Wookjin Choi, Saad Nadeem, Sadegh Riyahi, Joseph O. Deasy, Allen R. Tannenbaum, Wei Lu
Interpretable Spiculation Quantification for Lung Cancer Screening. CoRR (2018)
Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham J. Wu, James G. Mechalakos, Joseph O. Deasy, Wei Lu
Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response. DATRA/PIPPI@MICCAI (2018)
Wookjin Choi, Saad Nadeem, Sadegh Riyahi, Joseph O. Deasy, Allen R. Tannenbaum, Wei Lu
Interpretable Spiculation Quantification for Lung Cancer Screening. ShapeMI@MICCAI (2018)